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Sabato Mellone
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2020 – today
- 2024
- [j18]Antonella Carbonaro, Alberto Marfoglia, Filippo Nardini, Sabato Mellone:
Corrigendum: CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization. Frontiers Digit. Health 6 (2024) - [j17]Jose Albites-Sanabria
, Pierpaolo Palumbo
Real-World Balance Assessment While Standing for Fall Prediction in Older Adults. IEEE Trans. Biomed. Eng. 71(3): 1076-1083 (2024) - [j16]Marco Viceconti
Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research. IEEE J. Biomed. Health Informatics 28(1): 491-501 (2024) - [c15]Valerio Antonio Arcobelli, A. Bruschi, Christian Vassallo, Matteo Zauli, Luca De Marchi, Stefano Maludrottu, Matteo Laffranchi, Lorenzo Chiari, Sabato Mellone:
Enhancing TWIN Lower-Limb Exoskeleton Functionalities Through Sensorized Crutches and a Trunk Inertial Measurement Unit. BioRob 2024: 1263-1268 - [c14]Alberto Marfoglia
Representation of Machine Learning Models to Enhance Simulation Capabilities Within Digital Twins in Personalized Healthcare. PerCom Workshops 2024: 100-105 - 2023
- [j15]Antonella Carbonaro, Alberto Marfoglia
CONNECTED: leveraging digital twins and personal knowledge graphs in healthcare digitalization. Frontiers Digit. Health 5 (2023) - [j14]Valerio Antonio Arcobelli
mCrutch: A Novel m-Health Approach Supporting Continuity of Care. Sensors 23(8): 4151 (2023) - [c13]Matteo Zauli, Lorenzo Mistral Peppi, Valerio Antonio Arcobelli
Preliminary Development of a Full-Digital Smart System for Chest Auscultation and Further Internet of Medical Things Framework. ApplePies 2023: 175-180 - [i1]Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris:
From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research. CoRR abs/2304.06678 (2023) - 2021
- [j13]Kim S. Sczuka
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping. Sensors 21(8): 2601 (2021) - 2020
- [j12]Kristin Taraldsen, A. Stefanie Mikolaizak, Andrea B. Maier
Digital Technology to Deliver a Lifestyle-Integrated Exercise Intervention in Young Seniors - The PreventIT Feasibility Randomized Controlled Trial. Frontiers Digit. Health 2: 10 (2020) - [j11]Ronny Bergquist
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test. Sensors 20(17): 4987 (2020) - [j10]Bastian Abel
Will We Do If We Can? Habitual Qualitative and Quantitative Physical Activity in Multi-Morbid, Older Persons with Cognitive Impairment. Sensors 20(24): 7208 (2020) - [c12]Pierpaolo Palumbo, Luca Cattelani, Federica Fusco, Mirjam Pijnappels, Lorenzo Chiari, Federico Chesani, Sabato Mellone:
A Recommender System for Behavioral Change in 60-70-year-old Adults. AIxAS@AI*IA 2020: 69-80
2010 – 2019
- 2019
- [j9]Alice Coni
Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61-70 Years Old. Sensors 19(3): 449 (2019) - [j8]Elena Borelli, Giacomo Paolini
HABITAT: An IoT Solution for Independent Elderly. Sensors 19(5): 1258 (2019) - [j7]Alice Coni
An Exploratory Factor Analysis of Sensor-Based Physical Capability Assessment. Sensors 19(10): 2227 (2019) - 2018
- [j6]Wei Zhang
Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults. Sensors 18(7): 2032 (2018) - 2017
- [j5]Jorunn L. Helbostad, Beatrix Vereijken
Mobile Health Applications to Promote Active and Healthy Ageing. Sensors 17(3): 622 (2017) - 2016
- [j4]Elisabeth Boulton
Developing the FARSEEING Taxonomy of Technologies: Classification and description of technology use (including ICT) in falls prevention studies. J. Biomed. Informatics 61: 132-140 (2016) - [c11]Alan K. Bourke, Jochen Klenk
Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach. EMBC 2016: 3712-3715 - [c10]Anisoara Paraschiv-Ionescu, Sabato Mellone
Patterns of human activity behavior: from data to information and clinical knowledge. UbiComp Adjunct 2016: 841-845 - [c9]Alice Coni, Sabato Mellone
Association between smartphone-based activity monitoring and traditional clinical assessment tools in community-dwelling older people. RTSI 2016: 1-4 - 2015
- [c8]Muhammad Awais
Physical activity classification meets daily life: Review on existing methodologies and open challenges. EMBC 2015: 5050-5053 - [c7]Alice Coni, Sabato Mellone
Influence of age and gender on sensor-based functional measures: A factor analysis approach. EMBC 2015: 5054-5057 - 2014
- [j3]Mahmoud El-Gohary
Continuous Monitoring of Turning in Patients with Movement Disability. Sensors 14(1): 356-369 (2014) - [c6]Ather Nawaz, Jorunn L. Helbostad, Nina Skjæret, Beatrix Vereijken, Alan Bourke, Yngve Dahl
Designing Smart Home Technology for Fall Prevention in Older People. HCI (27) 2014: 485-490 - 2013
- [c5]Luca Palmerini
Classification of Early-Mild Subjects with Parkinson's Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions. AIME 2013: 176-180 - 2011
- [j2]Sabato Mellone
Hilbert-Huang-Based Tremor Removal to Assess Postural Properties From Accelerometers. IEEE Trans. Biomed. Eng. 58(6): 1752-1761 (2011) - [j1]Luca Palmerini
Feature Selection for Accelerometer-Based Posture Analysis in Parkinson's Disease. IEEE Trans. Inf. Technol. Biomed. 15(3): 481-490 (2011) - [c4]Luca Palmerini
Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test. EMBC 2011: 7179-7182 - [c3]Carlo Tacconi, Sabato Mellone
Smartphone-based applications for investigating falls and mobility. PervasiveHealth 2011: 258-261 - 2010
- [c2]Luca Palmerini, Laura Rocchi, Sabato Mellone, Lorenzo Chiari, Franco Valzania:
Feature Selection for the Instrumented Timed Up and Go in Parkinson's Disease. KDIR 2010: 95-99 - [c1]Luca Palmerini
A Clinical Application of Feature Selection: Quantitative Evaluation of the Locomotor Function. IC3K 2010: 151-157
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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